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3 years ago

Please help! i’ll give brainliest!

Mathematics

1 answer:

Musya8 [376]3 years ago

6 0

Answer:

x = 1 y = 6

Step-by-step explanation:

x + 2y = 13

-x + y = 5

3y = 18

y = 6

-x + 6 = 5

-x = -1

x = 1

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The factors of each term in the expression 8x + 12xy are shown below.

Tema [17]

I hope this helps you

8x 12xy ÷ x

8 12y ÷ 2

4 6y ÷ 2

2 3y

GCF=x.2.2

GCF= 4x

5 0

3 years ago

Read 2 more answers

A rental car agency rents cars for $32 per day. They also charge $0.15 per mile driven. If you are taking a 5-day trip and have

xz_007 [3.2K]

So the equation is 32x+0.15y = $250
You know that you’re going to a 5-day trip so you can change x to 5
32(5)+0.15y = $250
You multiply 32 by 5 = 160
$160+0.15y = $250
And to simplify the equation(to make it easier) you subtract 160 on both sides
0.15y = $90
Now you’re trying to find y, so divide 90 by 0.15 to find the maximum of miles you can drive.
y = 600 mi
The maximum amount of miles you can drive is 600

Graph:
I can’t show any pictures sorry
But this is how you do it
Make a number line
Graph 600 with a closed circle, like this: ●
Then make an line going to the left(because you can’t go any more than 600)

Hope this helps! :^)

6 0

4 years ago

Choose the best estimate for the length of a paperback book.

kobusy [5.1K]

I’m thinking it’s B! Sorry if I’m wrong! :)

3 0

4 years ago

Read 2 more answers

AD is the angle bisector of ∠EAB. Solve for x. ANSWERS:

Fofino [41]

Answer:

D) 6.4

Step-by-step explanation:

The Angle Bisector Theorem says that an angle bisector of a triangle will divide the opposite side into two segments that are proportional to the other two sides of the triangle.

This means that:

18/9.6 = 12/x

Solving for x:

x = 12*9.6/18

x = 6.4

7 0

3 years ago

slader A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a s

Vesnalui [34]

Answer:

(d) in many samples, the values of the statistic are centered at the value of the parameter.

True we have the two conditions satisfied, centered at the parameter and the expeced value is equal to the parameter.

Step-by-step explanation:

We say that an statistic is an unbiased estimator of a parameter when the expected value of the statistic is equatl to the parameter. Or when the sampling distribution of the statistic is centeres about the parameter.

For example the sample mean $\bar X$ is an unbiased estimator of the parameter $\mu$ the true mean since:

$E(\bar X) =E(\frac{\sum_{i=1}^n X_i}{n})=\frac{1}{n} \sum_{i=1}^n E(X_i)$

And assuming that $X_i \sim N(\mu, \sigma)$ we have:

$E(\bar X) = \frac{1}{n} n\mu = \mu$

Other interpretation is that if we select too many samples for the statisitc, the value is centered exaclty at the paramter like for example the sample mean.

With this we can analyze one of the options:

a) the statistic is calculated from a random sample.

That's not an important requirement in order to ensure that statistic is unbiased.

(b) in a single sample, the value of the statistic is equal to the value of the parameter.

False, we need that in many samples the values of the statistic would be equal to the parameter

(c) in many samples, the values of the statistic are very close to the value of the parameter.

False, we need that in many samples the values of the statistic would be exactly equal to the parameter

(d) in many samples, the values of the statistic are centered at the value of the parameter.

True we have the two conditions satisfied, centered at the parameter and the expeced value is equal to the parameter.

(e) in many samples, the distribution of the statistic has a shape that is approximately Normal.

Not an exclusive condition and not necessary.

5 0

3 years ago